Abstract: A first network analysis node in a network receives, from a device, a first message comprising information indicative of a subscription, for the device, to network analytics information, and sends, to a second network node, a second message comprising information indicative of a request for a transfer of at least part of the subscription to network analytics information to a second network analysis node.

Abstract: In some embodiments, the present disclosure relates to a system. The system includes a substrate and a fluid capture material formed on one or more surfaces of the substrate. The fluid capture material includes a sorbent material that binds one or more fluids, the one or more fluids comprising water, carbon dioxide, sulfur oxides, or a combination thereof. The fluid capture material also includes one or more binder materials, wherein the binder material is at least partially cross-linked.

Abstract: A home assistant device captures voice signal expressed by users in the home and extracts vocal features from these captured voice recordings. The device collects data about the current context in the home and requests from an aggregator a background model that is best adapted to the current context. This background model is obtained and locally used by the home assistant device to perform the speaker recognition. Home assistant devices from a plurality of homes contribute to the establishment of a database of background models by aggregating vocal features, clustering them according to the context and computing background models for the different contexts. These background models are then collected, clustered according to their contexts and aggregated by an aggregator in the database. Any home assistant device can then request from the aggregator the background model that fits best its current context, thus improving the speaker recognition.

Abstract: Methods, apparatuses, systems, etc., directed to quality of experience (QoE) data analytics for multiple wireless transmit and receive units (WTRUs) in 5G networks are disclosed herein. In an embodiment, a method may comprise receiving a request message requesting a quality of service (QoS) configuration related to at least one WTRU involved in an application for obtaining a target QoE of the application. The first method may further comprise transmitting the QoS configuration obtained based on the target QoE. In an embodiment, a method may comprise transmitting a first request signal for subscribing to a service data from an application and receiving a first response signal comprising at least one identifier of at least one WTRU involved in the application, the first response signal may comprise at least one indication of at least one individual contribution of the at least one WTRU to a QoE of the application.

Abstract: The present disclosure proposes a solution to associate a device with a user by capturing a voice of a speaker by a microphone connected to the network device (e.g. a residential or home gateway), monitoring the IP traffic of the network device and detecting the device contributing to this IP traffic in order to establish a link between the speaker and his device(s) and associate the device with the speaker.

Abstract: A home assistant device captures voice signal expressed by users in the home and extracts vocal features from these captured voice recordings. The device collects data about the current context in the home and requests from an aggregator a background model that is best adapted to the current context. This background model is obtained and locally used by the home assistant device to perform the speaker recognition. Home assistant devices from a plurality of homes contribute to the establishment of a database of background models by aggregating vocal features, clustering them according to the context and computing background models for the different contexts. These background models are then collected, clustered according to their contexts and aggregated by an aggregator in the database. Any home assistant device can then request from the aggregator the background model that fits best its current context, thus improving the speaker recognition.

Abstract: A home assistant device captures voice signal expressed by users in the home and extracts vocal features from these captured voice recordings. The device collects data about the current context in the home and requests from an aggregator a background model that is best adapted to the current context. This background model is obtained and locally used by the home assistant device to perform the speaker recognition. Home assistant devices from a plurality of homes contribute to the establishment of a database of background models by aggregating vocal features, clustering them according to the context and computing background models for the different contexts. These background models are then collected, clustered according to their contexts and aggregated by an aggregator in the database. Any home assistant device can then request from the aggregator the background model that fits best its current context, thus improving the speaker recognition.

Abstract: The present disclosure proposes a solution to associate a device with a user by capturing a voice of a speaker by a microphone connected to the network device (e.g. a residential or home gateway), monitoring the IP traffic of the network device and detecting the device contributing to this IP traffic in order to establish a link between the speaker and his device(s) and associate the device with the speaker.

Abstract: A home assistant device captures voice signal expressed by users in the home and extracts vocal features from these captured voice recordings. The device collects data about the current context in the home and requests from an aggregator a background model that is best adapted to the current context. This background model is obtained and locally used by the home assistant device to perform the speaker recognition. Home assistant devices from a plurality of homes contribute to the establishment of a database of background models by aggregating vocal features, clustering them according to the context and computing background models for the different contexts. These background models are then collected, clustered according to their contexts and aggregated by an aggregator in the database. Any home assistant device can then request from the aggregator the background model that fits best its current context, thus improving the speaker recognition.

Abstract: A system and method are provided for detecting a behavior patterns of a user. In one embodiment, the method comprises receiving information about activities of a user and calculating duration of each activity. Each activity that exceeds a threshold duration is categorized and labelled accordingly. Activities with similar labels are grouped and labelled activities are analyzing. Alerts are then generated for certain behavioral patterns such as those exhibiting anomalies.

Abstract: A method for controlling a rendering time of a second video content stream on a second device to be synchronized with a rendering time of a first video content stream on a first device, said second video content stream being organized in chunks, includes receiving by a control device a request of a chunk of the second video content stream from the second device, receiving by the control device, the packets of the requested chunk, and delivering by the control device the requested chunk to the second device at a delivery time at which said requested chunk should be delivered to the second device so that the rendering time of the second video content stream on the second device is synchronized with the rendering time of the first video content stream on the first device.

Abstract: The invention relates to a storage device management method allowing to manage the storage space, on a storage device, by proposing to an end user to store a new content he was going to consume if its storage determined size is lower than an already stored content size.

Abstract: This method for synchronizing a first multimedia stream rendered on a first terminal and a second multimedia stream rendered on a second terminal, comprises a step of generation, from an original audio sequence of the first stream, of original audio fingerprints, and further comprises steps of: a) generation from a first sequence of the first stream first audio fingerprints; b) comparison between the first fingerprints and the original fingerprints in order to obtain one or more first synchronization positions; c) correlation of the first sequence with one or more pieces of the original sequence located around the first synchronization positions in order to obtain a second synchronization position; d) rendering of the second stream on the second terminal using the second synchronization position.

Abstract: The invention relates to a method and a device for converting a data stream transporting content into a file on a server, the content including timestamps for its playback, the timestamps indicating the time elapsed since the start of said content, the method being wherein it includes steps for receiving, from a broadcast channel, streaming content, calculating at least one piece of temporal playback information from at least one of the timestamps and a reference clock, the reference clock being the time reference for a local area network, saving the content to a file on a server, the server file being accessible by a playback terminal connected to the local area network, and saving a piece of temporal playback information to a server file or to a description file associated with the server file.

Abstract: Method of identification of an appliance user from a plurality of users of an appliance, comprising: a) monitoring (52) at least one interaction of the appliance user with the appliance; b) monitoring (54) at contextual information relative to the appliance environment; c) using (60) said interaction monitoring and contextual information monitoring results to identify the appliance user.

Abstract: A method for delivering content to at least two terminals for synchronous playback is described. The method includes providing a first association of content to a preamble sequence, providing a second association of content to an ending sequence, providing estimations of data delivery duration from a server to at least two terminals and a playback duration of the preamble sequence in at least one of the first and second association, delivering the first and second association to the terminals wherein the playback duration of the preamble sequence is greater than or equal to the largest difference between the estimations, and wherein the estimations of data delivery duration allows each of the at least two terminals to evaluate a local temporization duration for playing-back synchronous content.

Abstract: The present invention concerns a transmitting device adapted to send content in bursts in a channel, the channel comprising a plurality of bursts, wherein a burst comprises at least one time slot. The transmitting device comprises first communicating means for receiving content from a first network, second communicating means for sending the content to a second network, the content being successively sent over at least one time slot of the bursts of the channel, time slot means for assigning a channel, and at least one unfilled time slot in the bursts of the channel to at least one second transmitting device located on the second network and signaling means for indicating the channel and the unfilled time slots to the at least one second transmitting device.

Abstract: The invention relates to a storage device management method allowing to manage the storage space, on a storage device, by proposing to an end user to store a new content he was going to consume if its storage determined size is lower than an already stored content size.

Abstract: Method for controlling a rendering time of a second content stream on a second device, said second content stream being organized in chunks, each chunk comprising data packets, said method comprising steps of: a) receiving a request of a chunk of the second content stream from the second device; b) determining a second position of said requested chunk on the basis of a playback position of a first content stream being rendered on a first device; c) receiving the packets of the requested chunk from a server; and d) delivering the requested chunk to the second device at a delivery time at which said requested chunk should be delivered to the second device, said delivery time being function of said second position.

Abstract: This method for synchronizing a first multimedia stream rendered on a first terminal and a second multimedia stream rendered on a second terminal, comprises a step of generation, from an original audio sequence of the first stream, of original audio fingerprints, and further comprises steps of : a) generation from a first sequence of the first stream first audio fingerprints; b) comparison between the first fingerprints and the original fingerprints in order to obtain one or more first synchronization positions; c) correlation of the first sequence with one or more pieces of the original sequence located around the first synchronization positions in order to obtain a second synchronization position d) rendering of the second stream on the second terminal using the second synchronization position.